Few-shot synthetic aperture radar object detection algorithm based on meta-learning and variational inference

IF 1.4 4区地球科学 Q4 ENVIRONMENTAL SCIENCES

Journal of Applied Remote Sensing Pub Date : 2024-08-09 DOI:10.1117/1.jrs.18.036502

Zining Han, Baohua Zhang, Yongxiang Li, Yu Gu, Jianjun Li, Guoyin Ren

引用次数: 0

查看原文本刊更多论文

基于元学习和变异推理的少发合成孔径雷达目标检测算法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Applied Remote Sensing 环境科学-成像科学与照相技术

CiteScore

3.40

自引率

11.80%

发文量

194

审稿时长

3 months

期刊介绍： The Journal of Applied Remote Sensing is a peer-reviewed journal that optimizes the communication of concepts, information, and progress among the remote sensing community.